MCP Agent

Overview The InsightFinder MCP Server is a Model Context Protocol implementation that enables Large…

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IFTracer: InsightFinder LLM Tracing SDK

IFTracer is a Python SDK developed by InsightFinder to facilitate monitoring and debugging of…

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Monitoring Application Availability

Purpose To monitor application availability. The example will onboard application logs, check application status,…

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Log To Metrics

“Log To Metric” is a feature of InsightFinder which helps you use raw logs…

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Access to InsightFinder

InsightFinder has two deployment offerings. Follow the guide below for your organization’s deployment model.

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On Premise Deployment

Contact your organization’s InsightFinder administrator(s) for help with locating the application URL and getting…

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SaaS Deployment

Contact your organization’s InsightFinder administrator(s) for help with locating the application URL and getting…

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KubeInsight for Kubernetes

KubeInsight InsightFinder’s KubeInsight offers comprehensive integration capabilities, enabling the collection of metrics, logs, and…

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Systems and Projects

In InsightFinder, there are Systems and Projects.  You will need to have at least…

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Projects

After you’ve created a System, you can create a Project (or multiple projects) to…

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Creating Projects

Step 1 – Click on Settings (gear icon) and then click on System settings….

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Systems

Before you can start analyzing data in InsightFinder, you must first get data into…

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Creating Systems

Step 1 – Click on Settings (gear icon).     Step 2 – Add…

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Data Ingestion

Settings > System Settings > Add New Project There are several different ways that…

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Validation

After the integration has been completed, validate that data is being received by InsightFinder…

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